Qdrant

What is Qdrant?

Qdrant is a vector database and vector search engine for applications that need to find similar items among embeddings, such as retrieval-augmented generation, semantic search, recommendations and agent memory. It supports vector similarity search, hybrid search, sparse and multi-vector data, quantization, multi-tenancy and advanced payload filtering including geo and full-text conditions. You can run the open-source engine on your own infrastructure or use Qdrant Cloud, a managed service on AWS, Azure and GCP that adds scaling, high-availability setups, backups and monitoring. Hybrid Cloud runs managed clusters on your own compute, and Private Cloud offers isolated or air-gapped deployments. Qdrant Cloud pricing starts with a free forever tier for prototypes (a single node with 0.5 vCPU, 1GB RAM and 4GB disk), then the Standard tier is billed by usage for CPU, memory, disk, backups and paid inference tokens. Premium adds a committed spend, SSO and a higher uptime SLA.

Use cases

• Store and search embeddings for RAG
• Run hybrid semantic and keyword search
• Build recommendation and discovery features
• Serve multi-tenant vector search
• Filter vector results by payload fields
• Host a managed vector cluster in the cloud

Who it's for

• Machine learning engineers
• Backend developers
• AI application teams
• Enterprises with data residency needs

Why use Qdrant

• A free forever cloud tier and an open-source engine let you prototype before paying anything.
• Cloud billing follows resource use, so a bigger cluster costs more and a small one stays small.
• Hybrid and Private Cloud options keep data in your own network for regulated workloads.
• Payload filtering and hybrid search let you combine vector similarity with structured conditions in one query.

Qdrant features

• Vector similarity search with recommendations and discovery
• Hybrid search plus sparse and multi-vector support
• Quantization to cut memory use
• Advanced payload filtering including geo and full-text
• Multi-tenancy and multi-stage queries
• Managed Qdrant Cloud on AWS, Azure and GCP
• Vertical and horizontal scaling with backups and disaster recovery
• Cloud Inference with free and external models
• Hybrid Cloud and Private Cloud deployment options
• Automation through API, Terraform, Pulumi and CLI
• SOC2 Type 2, JWT-based RBAC and audit logging

Qdrant integrations

• AWS
• Azure
• GCP
• Terraform
• Pulumi
• AWS Marketplace
• GCP Marketplace
• Azure Marketplace

How to get started with Qdrant

1. Start with the open-source engine locally, or create a free cluster in Qdrant Cloud.
2. Create a collection and upload vectors with payload data, using your own embeddings or Cloud Inference.
3. Query by vector similarity, add payload filters or hybrid search, and tune ranking.
4. When the workload grows, upgrade to the Standard tier for dedicated resources, scaling and backups.
5. Pay by credit card or through the AWS, GCP or Azure marketplace based on usage.

Qdrant limitations

• Free tier is a single node with 0.5 vCPU, 1GB RAM and 4GB disk and has no high availability
• Free tier has no backups, scaling or uptime SLA
• Premium requires a committed spend with an annual minimum
• Self-hosting means you operate and scale the database yourself

Qdrant pricing

Yes, Qdrant has a free plan.

Qdrant plans

• Free Tier

  $0

  free forever

  • Single node cluster
  • 0.5 vCPU / 1GB RAM / 4GB disk
  • Free cloud inference with selected models

• Standard Tier

  Usage-based

  • Dedicated resources
  • Vertical and horizontal scaling
  • Highly available setups
  • Backup and disaster recovery
  • 99.5% uptime SLA

• Premium Tier

  Minimum spend required

  • Everything in Standard
  • SSO
  • Private VPC links
  • 99.9% uptime SLA
  • 24x7 support

• Hybrid Cloud

  Price on vendor site

  • Managed clusters on your own infrastructure
  • Local data residency
  • Data stays in your network

• Private Cloud

  Price on vendor site

  • Dedicated isolated deployment
  • Air-gapped setups
  • Custom SLAs

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Qdrant alternatives

The main Qdrant alternatives listed on Debuly are Pinecone, Weaviate, Chroma, pgvector, Baseplate and Zilliz Cloud. The table compares pricing and platforms; order is A–Z.

1. Ba

   Baseplate

   Backend for LLM apps: a hybrid database for data and embeddings, search, an app builder and API endpoints

   Developer platformsAutomation and agents
   FreemiumVisit Baseplate (official site)
2. 

   Chroma

   Open-source search database for AI apps, with vector, full-text, regex and metadata search and a serverless cloud option.

   Developer platformsResearch and searchAutomation and agents
   Open sourceVisit Chroma (official site)
3. 

   pgvector

   Open-source PostgreSQL extension that adds vector columns, similarity search and HNSW and IVFFlat indexes to your existing database.

   Developer platformsCoding
   Open sourceVisit pgvector (official site)
4. 

   Pinecone

   Managed vector database for AI search and RAG, with dense, sparse and full-text indexes, inference and an Assistant API.

   Developer platformsResearch and search
   FreemiumVisit Pinecone (official site)
5. 

   Weaviate

   Open-source vector database with hybrid search and a managed Weaviate Cloud for semantic search, RAG and recommendations.

   Developer platformsResearch and search
   FreemiumVisit Weaviate (official site)
6. 

   Zilliz Cloud

   Fully managed vector database from the team behind Milvus, with free, serverless and dedicated clusters plus on-demand lake-scale compute.

   Developer platformsResearch and search
   FreemiumVisit Zilliz Cloud (official site)

Qdrant FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from qdrant.tech · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.